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Engineer Visa Sponsorship Jobs (NOW HIRING)

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Database Engineer- SQL Server

Austin, TX · On-site

$110K/yr

This role is not eligible for employment-based visa sponsorship. Candidates must be authorized to ... Experience in SRE, DevOps, or operations-focused roles * Cloud exposure (AWS or GCP) * Familiarity ...

Visa

Database Engineer- SQL Server

Austin, TX · Hybrid

$110K/yr

This role is not eligible for employment-based visa sponsorship. Candidates must be authorized to ... Experience in SRE, DevOps, or operations-focused roles * Cloud exposure (AWS or GCP) * Familiarity ...

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How much do engineer visa sponsorship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for engineer visa sponsorship in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is an engineer visa sponsorship?

An Engineer Visa Sponsorship job is a position where an employer supports a foreign engineer's work visa application to legally work in a specific country. The employer typically assists with the necessary paperwork, legal requirements, and sometimes financial costs associated with obtaining the visa. These jobs are common in industries facing talent shortages, such as software engineering, mechanical engineering, and civil engineering. Sponsorship requirements vary by country, employer, and type of visa.

What should I expect when joining a company as an engineer with visa sponsorship?

As an engineer joining a company with visa sponsorship, you can expect a supportive onboarding process that helps integrate you into both the technical team and the company culture. You'll likely work closely with HR and legal departments to ensure a smooth visa process while collaborating with multidisciplinary engineering teams on projects relevant to your expertise. Mentorship programs and regular check-ins are common, especially for internationally hired engineers, to help ease your transition. Over time, you'll have opportunities to work on increasingly complex projects and potentially move into senior or leadership roles based on performance and experience.

What are the key skills and qualifications needed to thrive in the engineer visa sponsorship position, and why are they important?

To thrive as an Engineer Visa Sponsorship candidate, you typically need a relevant engineering degree, strong analytical skills, and experience in your engineering discipline. Familiarity with industry-standard software such as AutoCAD, MATLAB, or SolidWorks, and certifications like the Professional Engineer (PE) license, can be vital depending on the specialization. Strong communication, adaptability, and teamwork skills help you integrate into new teams and adapt to different workplace cultures. These abilities ensure you can deliver high-quality engineering solutions while successfully navigating the complexities of relocating and collaborating internationally.

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Engineer Visa Sponsorship jobs near you
Infographic showing various Engineer Visa Sponsorship job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

LLM Engineer (Visa Sponsorship)

Spherecast Technologies Inc.

Manhattan, NY • On-site

$150 - $230/hr

Other

Posted 3 days ago

New

Job description

LLM Engineer – Agnes (Visa Sponsorship)

As a LLM Engineer at Spherecast, you will be responsible for building Agnes from the ground up – our AI Supply Chain Manager that decides what to produce, where to make it, and how to move it through factories, warehouses, and channels.

This is a fast-paced, highly autonomous role for someone who can own AI systems end-to-end: from prototypes to production, from prompts to tested and evaluated pipelines, from agents to real-world outcomes (POs, TOs, bookings). You’ll work directly with the core team to turn the physical flow of goods into something as programmable as code.

If you’re a builder who thrives at the intersection of LLMs, agents, systems engineering, and messy real-world data, this is your opportunity to shape how global brands run their supply chains.

What we’re looking for

You are a great fit if you have:

  • Hands‑on experience with modern LLM APIs (e.g. Anthropic, OpenAI, DeepSeek, OpenRouter, Gemini, Moonshot) and have shipped features using them.

  • Strong intuition for large language model selection – you understand the strengths, weaknesses, latency/cost tradeoffs, and ideal use cases of different LLMs.

  • Practical experience with the HuggingFace ecosystem in real projects.

  • A track record of building LLM-powered automations or agents that are core to a production system, not just internal demos or playgrounds.

  • Experience designing and maintaining evaluation pipelines to iterate quickly and safely on prompts and workflows.

  • Strong prompting and system‑design skills – you know how to design tools/functions, structured outputs, and multi‑step agent flows that are robust to edge cases.

  • Experience with LLM observability and monitoring (logging, traces, quality metrics, feedback loops) to track and improve production accuracy over time.

  • Bonus: Experience running self‑hosted LLMs in production or serious prototypes.

About Spherecast

Spherecast is building Agnes, the AI Supply Chain Manager for Consumer Goods.

Agnes decides what to produce, where to make it, and how to move it through factories, warehouses, and channels – simulating thousands of options in seconds and executing the best plan.

We are building Agnes to shape the physical flow of goods in the world, turning it into something as programmable as code.

When we succeed, every consumer product you touch will run on the Spherecast stack – planned in the Spherecast OS, executed over Spherecast Rails, and optimized by the shared Spherecast Network.

Oracle turned atoms into bits. Spherecast turns bits back to atoms, but globally optimized.

Be part of the next $T company.

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